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Recruiting NCT07308561

The Relationship Between Quality of Life, Anxiety Levels, and Attitudes Toward Artificial Intelligence Among Women Undergoing Infertility Treatment

— Observational Infertility, Female Artificial Intelligence Quality of Life Anxiety

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
This is an observational study: the protocol does not assign a study treatment.
Who it may be relevant to
Registry conditions: Infertility, Female, Artificial Intelligence, Quality of Life, Anxiety. Basic parameters: 18 years — 45 years · Female.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Turkey (Türkiye)
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Unsure about the terms? Read our patient guide →

Overview

Infertility affects approximately one in six individuals worldwide and is associated with significant psychological distress, particularly among women undergoing treatment. Increased anxiety levels are strongly linked to reduced quality of life during the infertility process. With the growing integration of artificial intelligence (AI) into healthcare, AI-based tools are increasingly used in infertility care to support decision-making and patient engagement. While many patients are familiar with AI technologies, individual attitudes toward AI may influence their acceptance and potential psychosocial benefits. This study aims to examine the relationship between attitudes toward artificial intelligence, anxiety levels, and quality of life among women undergoing infertility treatment.

Primary outcome measures

  • Sociodemographic and Descriptive Information Form [Time frame: At baseline (one-time assessment at enrollment)]
  • State-Trait Anxiety Inventory (STAI) - Trait Anxiety Scale [Time frame: At baseline (one-time assessment at enrollment)]
  • General Attitudes Toward Artificial Intelligence Scale [Time frame: At baseline (one-time assessment at enrollment)]
  • Fertility Quality of Life Scale (FertiQol) - Core Module [Time frame: At baseline (one-time assessment at enrollment)]

Eligibility criteria

Inclusion criteria

  • Women aged 18-45 years diagnosed with infertility (primary or secondary infertility).
  • Women undergoing infertility treatment and those who have experienced various treatment modalities (IUI, IVF, ICSI).
  • Women who voluntarily agree to participate in the study.
  • Women who are able to understand and speak Turkish.

Exclusion criteria

  • Women with diagnosed psychological disorders (e.g., clinical depression, anxiety disorders).
  • Women who are not undergoing infertility treatment.

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: No

Study design

Observational model
Other

Study locations

Turkey (Türkiye) · 1 center
  • Acıbadem Health Group — Istanbul

Publications

  • European Society of Human Reproduction and Embryology (ESHRE). (2024, April). Factsheet on infertility - prevalence, treatment and fertility decline in Europe. ESHRE. https://www.eshre.eu
  • Shi Z, Zheng Y, Zhu X, Mao Z, Nie H, Chen G, Li S. Understanding health-related quality of life in Chinese infertility patients: a qualitative study. Qual Life Res. 2025 Nov;34(11):3105-3119. doi: 10.1007/s11136-025-04066-y. Epub 2025 Sep 13. PMID 40944797
  • Simionescu G, Doroftei B, Maftei R, Obreja BE, Anton E, Grab D, Ilea C, Anton C. The complex relationship between infertility and psychological distress (Review). Exp Ther Med. 2021 Apr;21(4):306. doi: 10.3892/etm.2021.9737. Epub 2021 Feb 1. PMID 33717249
  • Song D, Li X, Yang M, Wang N, Zhao Y, Diao S, Zhang X, Gou X, Zhu X. Fertility quality of life (FertiQoL) among Chinese women undergoing frozen embryo transfer. BMC Womens Health. 2021 Apr 24;21(1):177. doi: 10.1186/s12905-021-01325-1. PMID 33894750
  • Gameiro S, Boivin J, Dancet E, de Klerk C, Emery M, Lewis-Jones C, Thorn P, Van den Broeck U, Venetis C, Verhaak CM, Wischmann T, Vermeulen N. ESHRE guideline: routine psychosocial care in infertility and medically assisted reproduction-a guide for fertility staff. Hum Reprod. 2015 Nov;30(11):2476-85. doi: 10.1093/humrep/dev177. Epub 2015 Sep 7. PMID 26345684
  • Cromack SC, Lew AM, Bazzetta SE, Xu S, Walter JR. The perception of artificial intelligence and infertility care among patients undergoing fertility treatment. J Assist Reprod Genet. 2025 Mar;42(3):855-863. doi: 10.1007/s10815-024-03382-5. Epub 2025 Jan 7. PMID 39776390
  • Medenica S, Zivanovic D, Batkoska L, Marinelli S, Basile G, Perino A, Cucinella G, Gullo G, Zaami S. The Future Is Coming: Artificial Intelligence in the Treatment of Infertility Could Improve Assisted Reproduction Outcomes-The Value of Regulatory Frameworks. Diagnostics (Basel). 2022 Nov 28;12(12):2979. doi: 10.3390/diagnostics12122979. PMID 36552986
  • Sarshoori, A. A., Mostafavi, M., Heidarpoor, S., & Chekeni, A. M. (2024). Role of Artificial Intelligence in Infertility Screening and Treatment: A Systematic Review. Iranian Biomedical Journal, 28, 253.

Identifiers

NCT: NCT07308561 · 2025-15/591

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗